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The present research tested the idea that the ecological impact of intergroup contact on outgroup attitudes can be fully understood only when relative frequency and relative influence of positive and negative contact are considered simultaneously. Participants from five European countries (Austria, the Czech Republic, Germany, Poland and Slovakia; N = 1276) freely described their contact experiences with people of neighboring nationalities and then reported on their outgroup attitudes. Contact descriptions were coded for positive versus negative valence and for person versus situation framing. Consistently across the five participant groups, positive intergroup contact was reported to occur three times more frequently than negative intergroup contact; however, positive contact was found to be only weakly related to outgroup attitudes. On the contrary, the less frequent negative (vs. positive) contact was comparatively more influential in shaping outgroup attitudes, especially when negativity was reported around the contact person, rather than the contact situation. This research's findings reconcile contrasting lines of past research on intergroup contact and suggest that the greater prevalence of positive contact may compensate for the greater prominence of negative contact, thus leading to modest net improvements in outgroup attitudes after intergroup contact. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Precision medicine is entering a new era of digital diagnostics; the availability of integrated digital pathology (DP) and structured clinical datasets has the potential to become a key catalyst for biomedical research, education and business development. In Europe, national programs for sharing of this data will be crucial for the development, testing, and validation of machine learning-enabled tools supporting clinical decision-making. Here, the Swiss Digital Pathology Consortium (SDiPath) discusses the creation of a Swiss Digital Pathology Infrastructure (SDPI), which aims to develop a unified national DP network bringing together the Swiss Personalized Health Network (SPHN) with Swiss university hospitals and subsequent inclusion of cantonal and private institutions. This effort builds on existing developments for the national implementation of structured pathology reporting. Opening this national infrastructure and data to international researchers in a sequential rollout phase can enable the large-scale integration of health data and pooling of resources for research purposes and clinical trials. Therefore, the concept of a SDPI directly synergizes with the priorities of the European Commission communication on the digital transformation of healthcare on an international level, and with the aims of the Swiss State Secretariat for Economic Affairs (SECO) for advancing research and innovation in the digitalization domain. SDPI directly addresses the needs of existing national and international research programs in neoplastic and non-neoplastic diseases by providing unprecedented access to well-curated clinicopathological datasets for the development and implementation of novel integrative methods for analysis of clinical outcomes and treatment response. In conclusion, a SDPI would facilitate and strengthen inter-institutional collaboration in technology, clinical development, business and research at a national and international scale, promoting improved patient care via precision medicine., (© 2022. The Author(s).)